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Azure with Azure Data Factory & Pyspark - Lead

Azure with Azure Data Factory & Pyspark - Lead

UST

5 - 9 years

0 Lacs

kochi kerala

Posted:3 days ago| Platform: Shine logo

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Skills Required

azure azure data factory pyspark

Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Engineer at our company, you will play a crucial role in building scalable data pipelines and working with Azure Cloud services. Your expertise in designing and implementing end-to-end data pipelines, focusing on high performance and scalability, will be essential. By leveraging Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks, along with PySpark for data transformations, you will contribute significantly to our innovative environment. **Key Responsibilities:** - Design, implement, and optimize end-to-end data pipelines on Azure, with a focus on scalability, performance, and reliability. - Develop and maintain ETL workflows to ensure seamless and efficient data processing. - Utilize Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks for effective data engineering solutions. - Implement and manage data storage solutions on Azure, ensuring optimal performance and scalability. - Use PySpark to perform advanced data transformations, ensuring high-quality and well-structured data outputs. - Implement data cleansing, enrichment, and validation processes using PySpark. - Optimize data pipelines, queries, and PySpark jobs to enhance overall system performance and scalability. - Identify and resolve performance bottlenecks within data processing workflows, ensuring efficiency. **Must Have Skills:** - Proven experience with Azure Cloud services, especially Azure Data Factory, Azure SQL Database, and Azure Databricks. - Expertise in PySpark for data processing and analytics. - Strong background in building and optimizing data pipelines and workflows. - Solid experience with data modeling, ETL processes, and data warehousing. - Ability to optimize data pipelines and jobs to ensure scalability and performance. - Experience troubleshooting and resolving performance bottlenecks in data workflows. - Strong communication skills and ability to work collaboratively in cross-functional teams. **Good To Have Skills:** - Any relevant Azure certifications will be considered a plus. - Experience with advanced data transformations using PySpark and other tools. - Knowledge of data governance best practices in the context of data engineering and cloud solutions. - Familiarity with other big data technologies and tools such as Hadoop, Spark, and Kafka. - Experience in designing and implementing data warehousing solutions in the Azure environment. **Qualifications:** - Bachelors degree in Computer Science, Engineering, Information Technology, or a related field. - 5-8 years of professional experience as a Data Engineer with a focus on Azure technologies.,

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Azure with Azure Data Factory & Pyspark - Lead